PLASTIC JUNGLE cut through the wild world of data.
公司规模
11-200
地区
- America
国家
- United States
产品
- Sisense
- ElastiCube
技术栈
- ETL
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 电子商务
- 零售
适用功能
- 商业运营
- 销售与市场营销
服务
- 软件设计与工程服务
- 系统集成
关于客户
Plastic Jungle was founded to help customers tame the plastic gift card jungles of their junk drawers. The company’s unique service allows people to trade unwanted gift cards for the gift cards they actually want to use. To date, the company has sold over $30M worth of gift cards and 400 merchants partner with Plastic Jungle, whose technology has verified, traded, and sold millions of gift cards to date. The company aims to provide a seamless and efficient platform for users to manage their gift cards, ensuring they can easily exchange them for more desirable options.
挑战
Plastic Jungle’s business success is predicated by its ability to move faster than the competition. When the company brought in a new CFO in 2012, he aimed to deploy a data solution that would match the company culture. Speed, accuracy and agility were the key tenants for the company data approach. “We wanted to make sure we didn’t paint ourselves into corner by taking a traditional approach to data warehousing.” That meant a solution that could grow to massive amounts of data, and allow regular business users to work with data quickly without requiring a huge investment that would leave them beholden to the product.\n\nPlastic Jungle's BI requirements included the ability to:\n• Manage and sustain the entire operations aspect of Plastic Jungle’s data warehouse with little or no operating support from the engineering and IT staff\n• Allow business users to create any ad-hoc reports they required\n• Provide the abstraction layer between the schema and the metrics that the business sought\n• Refresh in close to real-time – a minimum of once per day, and ideally every couple of hours\n• Not incur a significant capital outlay
解决方案
After conducting extensive research, Bhattacharya had narrowed down options to an open source BI tool, a leading commercially available tool, and Sisense. The team chose Sisense because of the technology’s immediate return on investment. Sisense did not require a dedicated IT person to support its deployment and use. “The other tools seemed to require a technical or development team to implement and manage,” he said. Plastic Jungle didn’t believe that success in the world of data should require people in addition to software. The old approach to data simply didn’t fit with the company’s efficient and forward-looking operations.\n\n“The other great advantage”, says Bhattacharya, “is Sisense’s approach to complex data operations. You don’t have to be a PhD of Analytics to build and maintain a Sisense solution. Even for ETL, Sisense’s flexibility allows anyone to work with data in a few clicks. The company’s secret sauce, the ElastiCube, is simply superior.”
运营影响
数量效益
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